Fig. 3: Ablation analysis of the flDPnn predictor on the test dataset.
From: flDPnn: Accurate intrinsic disorder prediction with putative propensities of disorder functions
Black bars show results for the flDPnn model. Green bars quantify predictive quality where one of the two major innovations (disorder functions predictions in the profile and protein-level feature encoding) is excluded. Gray bars show the performance where one of the architectural elements that are often utilized by the current predictors (residue-level and window-level feature encoding) is excluded. AUC (area under the ROC curve); MCC (Matthews correlation coefficient).
